Lead Data Engineer

ADP is hiring a Lead Data Engineer. 

• Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day?
• Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging? 

Well, this may be the role for you. Ready to design what's next?

In this role, you will work alongside ADP technology, data and product stakeholders to understand their data requirements. Then, you will play a significant role in designing and developing data solutions to provision data that fulfil the requirements.

Every day, you will do hands-on data analysis, design, develop data pipelines and other data solutions using our standard technical stack to publish the data required by our consumers. Each day, you will start with a scrum and identify priorities within the current sprint or discuss a new project. Then you'll plan relevant tasks, drive requirements with stakeholders and perform necessary activities related to data. You will follow all Data Architecture and Engineering standards that have been set.

To thrive in this role, you will need to have eight-plus years of experience working with data in technology organization. You’ll need to be capable at design and development of data solutions using industry standard frameworks, platforms and tools. You'll need extensive knowledge in data analysis, data engineering, SQL, requirements analysis, data visualization and an eye for details. Our best engineers are creative problem solvers who love a challenge. If you get stuck, you find a workaround and keep going. You never give up. This role requires you to have clear, compelling, and influential communication skills to succeed. You will constantly collaborate with other data engineers and peers on other teams. You must be adept at teaching, leading, and influencing. As part of our team, you will influence product success and help shape our industry.

Like what you see?  Apply now!

Learn more about ADP at tech.adp.com/careers

WHAT YOU'LL DO:

Here's what you can expect on a typical day:

• Data Engineering. Your primary role is to analyse data, design& develop data solutions, implement code and perform other activities required to provision data to the consumers of our data platform.
• Documentation. You will document the design and specifics of the data solution to sufficient details to support knowledge sharing and answering questions from consumers about data and the integration.
• Scrum. You'll start every day with a scrum, working together to understand responsibilities, identify issues, and communicate analysis and design priorities.
• Collaboration. You will collaborate with stakeholders, peers and other engineers to ensure 1) data requirements are fulfilled 2) the data solution is efficient and scalable.
• Challenges. Inevitable challenges will arise, and we'll rely on you to look for a solution. You love a challenge and revel in the opportunity of finding one.
• Learning and Teaching. You will strive to become an expert data engineer on the team, so when issues arise, you'll be the one fix them. When you present a solution, you are open to feedback from the team since you believe collaboration helps strengthen your ideas, especially if someone thought of something you hadn't considered. After all, we all have the same goal, develop the best solutions we can for our clients.
• Variety of work. There is no typical day. Some days you will dedicate to analysis and design of data, while others you will spend on projects for project management, delivery, business analysis, or any number of other functions.
• Experience. You have 8+ years of experience in relevant skills gained and developed in the same or similar role.

TO SUCCEED IN THIS ROLE:

• You'll have a Bachelor's degree OR equivalent.
• Prior experience that would give you extra comfort in the role includes:
  • 8+ years of overall industry experience with data and implementation of data solutions (relational, non-relational), data pipelines and flows
  • In-depth understanding of database structure, principles for relational and no